, passing a function willĪutomatically create a. show ()įinally, we can specify functions for the formatter using FormatStrFormatter ( ' %1.5f ' ) locator = matplotlib. set_major_locator ( locator ) formatter = matplotlib. set_major_formatter ( formatter ) formatter = matplotlib. MaxNLocator ( nbins = 'auto', steps = ) axs. FormatStrFormatter ( ' %1.1f ' ) locator = matplotlib. subplots ( 2, 2, figsize = ( 8, 5 ), tight_layout = True ) for n, ax in enumerate ( axs. Ticklabels are quite large, so we set nbins=4 to make theįig, axs = plt. Is not (because it's not yet known.) In the bottom row, the Ticklabel is taken into account, but the length of the tick string Nbins=auto uses an algorithm to determine how many ticks willīe acceptable based on how long the axis is. However, 3, 6, 9 would not beĪcceptable because 3 doesn't appear in the list of steps. The steps keyword contains a list of multiples that can be used for Ticker.MaxNLocator(self, nbins='auto', steps=) text ( 3, 8, 'boxed italics text in data coords', style = 'italic', bbox = °' ) plt. set_ylabel ( 'ylabel' ) # Set both x- and y-axis limits to instead of default ax. suptitle ( 'bold figure suptitle', fontsize = 14, fontweight = 'bold' ) ax. subplots_adjust ( top = 0.85 ) # Set titles for the figure and the subplot respectively fig. Import matplotlib import matplotlib.pyplot as plt fig = plt. Shows all of these commands in action, and more detail is provided in the Interfaces (see Matplotlib Application Interfaces (APIs) for an explanation of the tradeoffs):Īll of these functions create and return a Text instance, which can beĬonfigured with a variety of font and other properties. The following commands are used to create text in the implicit and explicit Math symbols and commands, supporting mathematical expressions anywhere in your figure. Or scientific figures, Matplotlib implements a large number of TeX How can I do this in matplotlib It appears the title () function only takes one single string with a single fontsize attribute. Weight, text location and color, etc.) with sensible defaults set inĪnd significantly, for those interested in mathematical 94 I want to give my graph a title in big 18pt font, then a subtitle below it in smaller 10pt font. The user has a great deal of control over text properties (font size, font Matplotlib.font_manager (thanks to Paul Barrett), which Produces very nice, antialiased fonts, that look good even at small Or PDF, what you see on the screen is what you get in the hardcopy. Vector outputs, newline separated text with arbitraryīecause it embeds fonts directly in output documents, e.g., for postscript Mathematical expressions, truetype support for raster and Matplotlib has extensive text support, including support for Introduction to plotting and working with text in Matplotlib. To download the full example code Text in Matplotlib Plots #
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